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of partial differential equations (PDE). Examples of models in the scope of the project include particle models, stochastic PDE and models from fluid dynamics and machine learning. What skills are important in
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algebra, applied probability/statistics, partial differential equations, scientific computing, applied analysis, and mathematics education. KEY RESPONSIBILITIES: Responsibilities include teaching and
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, number theory, representation theory, invariant theory, dynamical systems, free probability, partial differential equations, and mathematical physics. In statistics, these include biostatistics, optimal
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for partial differential equations (PDEs) structure-preserving and data-driven reduced order modeling scientific machine learning In addition to research, the postdoctoral researcher will engage in mentoring
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will work with nonlinear partial differential equations, constitutive modelling, and numerical methods to simulate large-scale mass-movement events, with the aim of improving our understanding of flow
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differential equations, computational fluid dynamics and material science, dynamical systems, numerical analysis, stochastic problems and stochastic analysis, graph theory and applications, mathematical biology
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/stochastic partial differential equations; mathematical physics. Outstanding candidates of all ranks will be considered. 1. Chair Professors: Candidates are leading mathematicians with an international
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, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator algebras, complex analysis and logic. We have
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limited to, Dynamical Systems, Partial Differential Equations, Optimization, Stochastic Differential Equations, Stochastic Partial Differential Equations, Mathematical Physics, Fluid Dynamics, Mathematical
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both pure and applied mathematics with groups in number theory, dynamical systems, geometry, algebra, analysis and partial differential equations, applied mathematics and numerical analysis